2019
DOI: 10.3390/en13010159
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Voltage Regulation Planning for Distribution Networks Using Multi-Scenario Three-Phase Optimal Power Flow

Abstract: Active distribution networks must operate properly for different scenarios of load levels and distributed generation. An important operational requirement is to maintain the voltage profile within standard operating limits. To do this, this paper proposed a Multi-Scenario Three-Phase Optimal Power Flow (MTOPF) that plans the voltage regulation of unbalance and active distribution networks considering typical scenarios of operation. This MTOPF finds viable operation points by the optimal adjustments of voltage … Show more

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Cited by 8 publications
(5 citation statements)
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“…As inferred from the current analysis, the relationships among renewable energy access, load demand variations, and grid stability are intricate [24]. The current findings suggest a comprehensive strategy to increase supply-regulation capacity that combines technological advancements in energy storage and grid control with policy structures and market systems that encourage design and action flexibility, resilience, and sustainability [25].…”
Section: Resultsmentioning
confidence: 74%
“…As inferred from the current analysis, the relationships among renewable energy access, load demand variations, and grid stability are intricate [24]. The current findings suggest a comprehensive strategy to increase supply-regulation capacity that combines technological advancements in energy storage and grid control with policy structures and market systems that encourage design and action flexibility, resilience, and sustainability [25].…”
Section: Resultsmentioning
confidence: 74%
“…The specific Wasserstein distance lower limit can be adjusted based on the scale of six to ten typical PV scenes and ten to fifteen typical load scene data in a year. This typical scenario scale of PV and electricity is more suitable for distribution network operation planning [29][30][31][32][33][34].…”
Section: Typical Scene Extraction Based On Wasserstein Distancementioning
confidence: 99%
“…Thus, the DM must build the mathematical model consisting of an equation set based on the following main components: objective function, constraints (equality and inequality), and variables (optimization, status). The input data refer to the required active and reactive powers at each bus, the system topology (assumed not to change during the optimization process), and the optimization variables (the tap position of the power transformers, the amplitude and angle of the voltage at the controlled buses) [37,38].…”
Section: Stage 2 Successive Quadratic Programming-based Opf 221 Opf P...mentioning
confidence: 99%